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BGC Viewer
A viewer for biosynthetic gene cluster data.
6
contributors
Description
BGC Viewer
A viewer for biosynthetic gene cluster (BGC) data.
Installation & run
Using Python 3.11 or higher, install and run the BGC Viewer as follows:
pip install bgc-viewer
bgc-viewer
This will start the BGC Viewer server, to which you can connect with your web browser.
Configuration
Environment variables can be set to change the configuration of the viewer.
A convenient way to change them is to put a file called .env in the directory from
which you are running the application.
Basic Configuration
BGCV_HOST=localhost # Server host (default: localhost)
BGCV_PORT=5005 # Server port (default: 5005)
BGCV_DEBUG_MODE=False # Enable dev/debug mode (default: False)
Public Mode (Multi-user Deployment)
BGCV_PUBLIC_MODE=True # Enable public mode
BGCV_DATABASE_PATH=/path/to/attributes.db # Path to index database file (required)
BGCV_SECRET_KEY=your-secret-key # Secret key for session signing (required)
REDIS_URL=redis://localhost:6379 # Redis URL for session storage (recommended)
HTTPS_ENABLED=True # Enable secure cookies for HTTPS
BGCV_ALLOWED_ORIGINS=https://yourdomain.com # Allowed CORS origins
In public mode:
- The database path points to an
attributes.dbindex file - The actual data location (data_root) is read from the database metadata
- Multiple users can access the application simultaneously with session support
- File system browsing and preprocessing endpoints are disabled
For more configuration options, see .env.example.
Development
See the repository main README for development details.
uv run python -m bgc_viewer.app
License
Apache 2.0
License
Contributors
Contact person
Catarina Loureiro
AD
Arjan Draisma
NL
Nico Louwen
MM
Marnix H. Medema
Wageningen University & Research
Related projects
BiG-VIEWS
Biosynthetic Genomics Visualization and Interoperability with Enhanced Workflows and Scalable software
Updated 1 week ago
In progress